Data Modeling for Metrology and Testing in Measurement Science (eBook, PDF)

Redaktion: Pavese, Franco; Forbes, Alistair B.

• Format: PDF

Produktbeschreibung

This book provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The focus is on techniques having a broad range of real-world applications in a variety of fields.

Data Modeling for Metrology and Testing in Measurement Science may be used as a textbook in graduate courses on data modeling and computational methods, or as a training manual in the fields of calibration and testing. The book will also serve as an excellent reference for metrologists, mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science.

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Produktdetails

• Verlag: Birkhäuser Boston
• Seitenzahl: 486
• Erscheinungstermin: 16. Dezember 2008
• Englisch
• ISBN-13: 9780817648046
• Artikelnr.: 37338034

Inhaltsangabe

An Introduction to Data Modeling Principles in Metrology and Testing.- Probability in Metrology.- Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty.- Interval Computations and Interval-Related Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements.- Parameter Estimation Based on Least Squares Methods.- Frequency and Time#x2014;Frequency Domain Analysis Tools in Measurement.- Data Fusion, Decision-Making, and Risk Analysis: Mathematical Tools and Techniques.- Comparing Results of Chemical Measurements: Some Basic Questions from Practice.- Modelling of Measurements, System Theory and Uncertainty Evaluation.- Approaches to Data Assessment and Uncertainty Estimation in Testing.- Monte Carlo Modeling of Randomness.- Software Validation and Preventive Software Quality Assurance for Metrology.- Virtual Istrumentation.- Internet-Enabled Metrology.

Rezensionen

From the reviews:
"This is a surprisingly eclectic compilation that I found full of interesting concepts and new knowledge. ... Academic researchers and National Measurement Institutes will certainly recommend the text to their libraries. Their research students will benefit ... ." (D. Brynn Hibbert, Accreditation and Quality Assurance, Vol. 15, 2010)